Project in Operations Research & Analytics

This information is for the 2020/21 session.

Teacher responsible

Mr David Collier


This course is available on the MSc in Operations Research & Analytics. This course is not available as an outside option.

Cannot be taken with MA426 Dissertation in Operations Research & Analytics.

Course content

The student will carry out and report upon a substantial practical piece of Operational Research or Data Analytics. The project will either be found by the course leader or may be suggested by the student, with the approval of his/her teachers.


This course is delivered through a combination of classes and lectures totalling a minimum of 16.5 hours across Michaelmas Term and Lent Term. This year, some or all of this teaching will be delivered through a combination of virtual classes and lectures delivered as online videos.

Formative coursework

Each student will be assigned an internal project supervisor who will monitor his/her progress on a continuing basis and give tutorial advice as required.

Indicative reading

Detailed suggestions for reading will be provided in the course of supervision.


Project (100%).

Assessment is based entirely on the project report.

The student is expected to work on this full-time from early June to end of August. The project report must be submitted on a specified date in late August/early September. The page limit for the report is 40 pages, excluding appendices.


Important information in response to COVID-19

Please note that during 2020/21 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the situation of students in attendance on campus and those studying online during the early part of the academic year. For assessment, this may involve changes to mode of delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.

Key facts

Department: Mathematics

Total students 2019/20: 26

Average class size 2019/20: 26

Controlled access 2019/20: No

Value: One Unit

Guidelines for interpreting course guide information

Personal development skills

  • Self-management
  • Team working
  • Problem solving
  • Communication
  • Application of numeracy skills
  • Commercial awareness
  • Specialist skills